As your application databases scale, unindexed tables will slow down page rendering. Learning query optimization techniques keeps database latency low under heavy loads.
1. Understand Query Execution Plans
Use database execution plans to spot table scans. A table scan means the engine is inspecting every single row to find a matching record, which causes severe CPU bottlenecks.
Running SQL command pre-checks like EXPLAIN ANALYZE exposes long-running operations and guides where indexes are required.
2. Compound Indexing Rules
When filtering by multiple fields (e.g. status and date), create a compound index matching both keys. The order of columns in the index matters: place the most selective filter fields first.
3. Avoid SELECT * Queries
Only query the specific columns needed by the view. Restricting database payloads reduces memory usage and saves precious network bandwidth.